From 50bb009e0da3dd2c5a713aa3160f49e2edc62d41 Mon Sep 17 00:00:00 2001
From: keahorvath <keahorvath@outlook.com>
Date: Wed, 15 Mar 2023 17:10:40 +0100
Subject: [PATCH] gaussienFilter ne change pas encore selon la taille --> A
 faire

---
 .../java/pdl/backend/ImageController.java     |  2 +-
 .../java/pdl/backend/ImageProcessing.java     | 35 +++++++++++++++++--
 2 files changed, 34 insertions(+), 3 deletions(-)

diff --git a/backend/src/main/java/pdl/backend/ImageController.java b/backend/src/main/java/pdl/backend/ImageController.java
index 8291ba9..8c7a53d 100644
--- a/backend/src/main/java/pdl/backend/ImageController.java
+++ b/backend/src/main/java/pdl/backend/ImageController.java
@@ -181,7 +181,7 @@ public class ImageController {
                                         HttpStatus.BAD_REQUEST);
                             }
                             Planar<GrayU8> clone = input.clone();
-                            ImageProcessing.gaussienFilter(clone, input, null);
+                            ImageProcessing.gaussienFilter(clone, input, i);
                         } catch (NumberFormatException e) {
                             return new ResponseEntity<>("Parameter 'size' should be an odd positive integer",
                                     HttpStatus.BAD_REQUEST);
diff --git a/backend/src/main/java/pdl/backend/ImageProcessing.java b/backend/src/main/java/pdl/backend/ImageProcessing.java
index a77fce2..20b7cf7 100644
--- a/backend/src/main/java/pdl/backend/ImageProcessing.java
+++ b/backend/src/main/java/pdl/backend/ImageProcessing.java
@@ -314,6 +314,36 @@ public class ImageProcessing {
 
     }
 
+    /**
+     * TODO
+     * Calcule le noyau gaussien de taille demandée
+     * 
+     * @param size taille du noyau gaussien
+     * @return noyau gaussien
+     */
+    public static int[][] createGaussienKernel(int size) {
+        // Vérification que la taille est impaire
+        if (size % 2 == 0 || size < 0) {
+            throw new IllegalArgumentException("La taille doit être impaire et positive");
+        }
+        double[][] kernel = new double[size][size];
+        double sigma = 4 / 3;
+        double sum = 0.0; // For accumulating the kernel values
+        for (int x = 0; x < size; ++x)
+            for (int y = 0; y < size; ++y) {
+                kernel[x][y] = 1 / (2 * Math.PI * sigma * sigma) * Math.exp(-(x * x + y * y) / (2 * sigma * sigma));
+
+            }
+
+        // Normalize the kernel
+        int[][] kernelk = new int[size][size];
+        for (int x = 0; x < size; ++x)
+            for (int y = 0; y < size; ++y)
+                kernelk[x][y] = (int) (kernel[x][y] / sum);
+
+        return kernelk;
+    }
+
     /**
      * 
      * Effectue une convolution sur une image avec le noyau
@@ -324,8 +354,9 @@ public class ImageProcessing {
      * @param kernel Le noyau de convolution à utiliser.
      */
     public static void gaussienFilter(Planar<GrayU8> input, Planar<GrayU8> output,
-            int[][] kernel) {
-        int size = kernel.length;
+            int size) {
+        int[][] kernel = { { 1, 2, 3, 2, 1 }, { 2, 6, 8, 6, 2 }, { 3, 8, 10, 8, 3 }, { 2, 6, 8, 6, 2 },
+                { 1, 2, 3, 2, 1 } };
         int half = size / 2;
         int totalCoefs = 0;
         // Calcul du nombre total de coefficients dans le noyau